Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLR_2016-05-22_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPG_2016-09-06_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JMN_2016-10-29_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGM_2017-06-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGM_2017-07-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JHN_2017-07-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JLT_2017-07-09_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JGL_2017-08-28_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGN_2017-09-17_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JHN_2017-09-17_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMH_2018-01-12_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMJ_2018-01-12_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHP_2018-03-09_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-03-26_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMK_2018-03-30_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JNN_2018-03-30_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JKM_2018-04-02_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JNM_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JNN_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JNP_2018-05-19_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JKN_2018-05-22_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JLN_2018-05-22_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JMT_2018-05-22_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JNS_2018-05-22_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HPG_2018-05-26_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JMM_2018-05-29_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JNP_2018-05-29_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLS_2018-06-21_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JHN_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKT_2018-06-24_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JNM_2018-06-28_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLS_2018-07-11_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGN_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHM_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKQ_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKS_2018-08-23_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_50JNN_2018-09-06_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JKN_2018-09-29_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JLR_2018-09-29_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMG_2018-10-09_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JKP_2018-10-09_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JLP_2018-10-09_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JLQ_2018-10-09_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JMP_2018-10-09_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JHM_2018-10-12_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-10-12_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKS_2018-10-12_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50JNM_2018-10-16_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50JNQ_2018-10-16_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLQ_2018-10-19_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JMP_2018-10-19_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-22_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKT_2018-10-22_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HPK_2018-10-26_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JML_2018-10-26_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNL_2018-10-26_final
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50JLT_2018-10-29_final
2018-12-08 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2018-12-08_final
2018-12-15 11:46:17	ga_s2am_ard_3-2-1_50JML_2018-12-15_final
2018-12-21 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-21_final.stac-item
2018-12-25 11:46:33	ga_s2am_ard_3-2-1_50HMK_2018-12-25_final
2018-12-25 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2018-12-25_final
2019-01-03 12:15:05	ga_s2am_ard_3-2-1_49JGL_2019-01-03_final
2019-01-04 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-01-04_final
2019-01-07 11:55:08	ga_s2am_ard_3-2-1_50JLR_2019-01-07_final
2019-01-07 11:57:04	ga_s2am_ard_3-2-1_50HLH_2019-01-07_final
2019-03-08 11:55:04	ga_s2am_ard_3-2-1_50JMR_2019-03-08_final
2020-02-11 11:56:44	ga_s2am_ard_3-2-1_50HMJ_2020-02-11_final
2020-03-05 12:04:23	ga_s2am_ard_3-2-1_49KHP_2020-03-05_final
2020-03-12 11:56:26	ga_s2am_ard_3-2-1_50HNK_2020-03-12_final
2020-03-28 12:15:06	ga_s2am_ard_3-2-1_49JGL_2020-03-28_final
2020-06-13 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-06-13_final
2021-04-22 12:14:27	ga_s2am_ard_3-2-1_49JHN_2021-04-22_final
2021-04-26 11:55:43	ga_s2am_ard_3-2-1_50JKP_2021-04-26_final
2021-04-29 12:04:40	ga_s2am_ard_3-2-1_49JHN_2021-04-29_final
2021-04-29 12:04:54	ga_s2am_ard_3-2-1_49JHM_2021-04-29_final
2021-04-30 11:37:18	ga_s2am_ard_3-2-1_50HPG_2021-04-30_final.stac-item
2021-05-16 11:57:23	ga_s2am_ard_3-2-1_50HLG_2021-05-16_final.stac-item
2021-06-05 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-06-05_final
2021-06-15 11:54:37	ga_s2am_ard_3-2-1_50JNT_2021-06-15_final
2021-06-15 11:54:52	ga_s2am_ard_3-2-1_50JNS_2021-06-15_final
2021-06-15 11:55:50	ga_s2am_ard_3-2-1_50JNN_2021-06-15_final
2021-06-22 11:45:25	ga_s2am_ard_3-2-1_50JNQ_2021-06-22_final
2021-07-08 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-08_final
2021-07-08 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-07-08_final
2021-07-11 12:15:13	ga_s2am_ard_3-2-1_49JGL_2021-07-11_final
2021-07-12 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-07-12_final.stac-item
2021-08-01 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-08-01_final.stac-item
2021-08-17 12:04:56	ga_s2am_ard_3-2-1_50JLS_2021-08-17_final
2021-08-17 12:05:03	ga_s2am_ard_3-2-1_49JGM_2021-08-17_final
2021-08-17 12:05:18	ga_s2am_ard_3-2-1_50JKR_2021-08-17_final
2021-08-27 12:05:17	ga_s2am_ard_3-2-1_49JGL_2021-08-27_final
2021-09-10 11:46:30	ga_s2am_ard_3-2-1_50HQK_2021-09-10_final
2021-10-26 12:03:49	ga_s2am_ard_3-2-1_49KHS_2021-10-26_final.stac-item
2021-12-18 12:14:46	ga_s2am_ard_3-2-1_49JFN_2021-12-18_final
2022-03-28 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-03-28_final
2022-07-27 11:46:58	ga_s2am_ard_3-2-1_50HPJ_2022-07-27_final
2023-01-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-01-19_final.stac-item
2023-07-18 12:03:49	ga_s2am_ard_3-2-1_49KHS_2023-07-18_final.stac-item
2023-11-29 11:47:16	ga_s2am_ard_3-2-1_50HMG_2023-11-29_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years